Summary
Lubomir Kamensky is a Senior Data Engineer and seasoned data warehouse modeler with over 15 years designing and delivering enterprise DWH solutions for Fortune 500 clients across logistics, telco, banking, and pharma. He combines deep relational modeling (3NF), expert SQL and performance tuning with hands-on cloud migrations and modern tooling—Teradata to Redshift migrations, DBT-driven pipelines, Trino/Hive, and AWS/GCP deployments. Trusted to own full logical and physical DWH layers, he regularly partners with scientists, manufacturing centers and analysts to turn complex source systems into reliable data marts and semantic layers. An advocate for automation and CI (Git, Jenkins, dbt) he also applies Python-driven data science and ML where it solves real business problems. Outside core projects he shares knowledge through DWH Academy and maintains personal and open-source projects (lubolab, GitHub) that explore IoT, JSON stores and lightweight platform integrations.
11 years of coding experience
5 years of employment as a software developer
Master's degree, Master's degree at Mendel University in Brno